Skill UI

Comprehensive stylistic guidelines for submitting quantitative dynamic economic papers to the Review of Economic Dynamics (RED). This guide covers critical conventions, including structuring the abstract to lead with quantitative results, mastering Harvard referencing, adhering to LaTeX formatting, and emphasizing dynamic mechanisms for top-tier academic submission.

This tool guides authors in evaluating whether a physics review manuscript is suitable for the Reports on Progress in Physics (RoPP) journal. It provides comprehensive details on the journal's required scope, expected depth of critical synthesis, methodological standards, and official submission guidelines, ensuring the work meets the high academic bar of an authoritative progress report.

A comprehensive skill designed to help users assess the suitability of their economics or management manuscript for 'Research on Financial and Economic Issues'. It provides detailed guidelines on journal positioning, submission requirements, thematic preferences, and common rejection pitfalls, ensuring authors align their work with the journal's scope and style.

Provides comprehensive guidelines for creating publication-grade, self-contained tables and figures for top finance journals, such as The Review of Financial Studies (RFS). It covers best practices for rigorous statistical reporting, emphasizing standard error reporting, economic magnitude, and ensuring that all presented results are fully reproducible from the source code.

Comprehensive guidelines for auditing and reproducing high-stakes empirical financial research. This resource details the rigorous standards required for top-tier finance journals, covering sample construction, identifying variables, advanced econometric modeling (e.g., panel data, factor pricing), handling international cross-market data, and establishing a fully reproducible data pipeline. Essential for ensuring the robustness and credibility of finance findings.

Provides a comprehensive guide to the rigorous editorial standards and submission protocols for the Review of Finance. It covers double-blind review requirements, the two-round decision philosophy, common desk screening patterns, and critical timing expectations (Regular vs. Fast-Track). This resource is essential for authors aiming to publish in top-tier finance journals by adhering strictly to academic integrity and compliance rules.

Provides comprehensive guidelines for designing high-impact scientific figures for major academic journals. It covers technical aspects like optimal sizing, font legibility, and colorblind safety, while also enforcing strict data visualization practices (e.g., using dot plots over bars, defining 'n', ensuring data integrity). Use this as a final quality check before submission to guarantee scientific rigor and maximize publication chances.

This skill provides specialized guidance for authors aiming to publish in the flagship journal, Science. It covers the journal's unique requirements, including cross-disciplinary significance, policy relevance, rigorous methodology standards, and optimal structuring. Use it to re-frame and strengthen your manuscript before official submission.

This skill provides comprehensive guidelines for submitting manuscripts to the journal *Science of Science and Management of S&T*. It helps researchers assess the article's fit, structure, required evidence (e.g., patent quality, network analysis), and common pitfalls associated with technology policy and innovation systems research, ensuring academic rigor.

This comprehensive guide outlines the strict criteria for submitting a paper to the SenSys conference after the 2026 merger. It clarifies that the core contribution must be a built, measured sensing or embedded system, demonstrating value based on physical resources like energy, memory, and latency on real hardware, rather than being a pure algorithm or networking mechanism.

This skill provides comprehensive guidelines for conducting and reporting high-stakes quantitative data analysis in the social sciences. It emphasizes methodological rigor, requiring honest reporting of uncertainty, probing robustness (specs that could break the result), and ensuring full reproducibility. It covers advanced topics like design-based inference, cluster corrections, and handling missing data, ensuring results withstand expert review.

Provides comprehensive guidelines for authors preparing manuscripts for high-level academic publication, focusing specifically on data availability and transparency. It guides users through drafting the required data availability statement, depositing data and code in public repositories (e.g., OSF, Zenodo), and methods for documenting restricted or qualitative sources to ensure maximum reproducibility and ethical compliance.